Triple

T32090184
Position Surface form Disambiguated ID Type / Status
Subject Gaetano Giuseppe Casanova E819568 entity
Predicate givenName P17 FINISHED
Object Gaetano Giuseppe
Gaetano Giuseppe is the given name of Gaetano Giuseppe Casanova, an 18th-century Italian actor and father of the famous adventurer and writer Giacomo Casanova.
E1991287 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gaetano Giuseppe | Statement: [Gaetano Giuseppe Casanova, givenName, Gaetano Giuseppe]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gaetano Giuseppe
Triple: [Gaetano Giuseppe Casanova, givenName, Gaetano Giuseppe]
Generated description
Gaetano Giuseppe is the given name of Gaetano Giuseppe Casanova, an 18th-century Italian actor and father of the famous adventurer and writer Giacomo Casanova.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b63ca23c8190a0c03db580d774f9 completed May 3, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddf54bdc8190babcc48830e5b0e5 completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ee20788248190bd11cc30a0a2da55 completed June 14, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2ee30de97c819085f4b02af71649fa completed June 14, 2026, 5:21 p.m.
Created at: May 1, 2026, 12:25 a.m.